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Nowadays, organizations are facing fast markets’ changing, competition strategies, technological innovations and accessibility of information. In such highly dynamic situations, many factors must be coordinated to realize effective decision-making. In addition, the definition of organizational intelligence is as follows: intellectual ability to answer organizational issues and focus on the unification of human and mechanical abilities for solving problems. This paper aims to investigate important factors (organizational learning, knowledge management and e-learning systems) that influence organizational intelligence.

Data have been collected from 290 personnel of tax administration of East Azarbaijan, Iran. For measuring the model’s elements, a questionnaire has been proposed. Surveys have been reviewed by experts with significant experiences in the organizational intelligence field. For statistical analysis of questionnaires, the statistical package social sciences 25 and SMART-partial least squares 0.3 have been used.

Findings from the study verify the validity of the design for an organizational intelligence assessment. The outcomes indicate that e-learning systems positively affected organizational intelligence. In addition, they show that the influence of knowledge management and organizational learning on organizational intelligence is important.

Organizational intelligence’s multidimensional nature makes it a very useful and essential management tool. Therefore, it provides beneficial results for the organizations’ managers to study the important factors affecting it.

This paper examines and empirically validates the artificial intelligence-enabled human resource management (AI-enabled HRM) dimensions and sustainable organisational performance (SOP) relationship. It also examines the mediation and moderation of employee engagement (EE) and fusion skills (FS).

The indirect effects of AI-enabled HRM dimensions on SOP were found using structural equation modelling (SEM), bootstrapping and FS’s moderation effect by AMOS 22.

Results showed that AI-enabled HRM dimensions indirectly affected SOP through EE as a full and partial mediator with no moderation effects of FS.

This is the first study to link AI-enabled HRM dimensions, EE and SOP and determine how FS moderates EE and SOP.